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AI-Powered System for Objective Surgical Skill Assessment in Open Procedures (Case No. 2025-207)
Summary: UCLA researchers in the Department of Surgery have developed a deep-learning architecture to efficiently and accurately assess surgeon skill level for improved medical training. TITLE: AI-Powered System for Objective Surgical Skill Assessment in Open Procedures Background: Objectively assessing surgical trainee performance during open...
Published: 3/21/2025
|
Inventor(s):
Peyman Benharash
,
Armin Alipour
Keywords(s):
AI
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
deep-learning analysis algorithms
,
Education technology
,
image-guided surgery
,
medical bias reduction
,
Quality Control
,
Surgery
,
Surgical Instrument
,
Surgical Tools
,
teaching
Category(s):
Life Science Research Tools > Lab Equipment
,
Life Science Research Tools > Research Methods
,
Medical Devices > Hospital Systems
,
Medical Devices > Monitoring And Recording Systems
,
Medical Devices > Surgical Tools
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Communication & Networking
,
Software & Algorithms > Digital Health
A Data-Driven Approach to Quality Assurance for Imagers (Radiologists) Individually and Imaging Departments as a Whole (Case No. 2014-501)
Summary: UCLA researchers have developed innovative software that streamlines radiological data analysis to enhance patient outcomes, evaluate radiologist performance, and assess AI algorithms in a way that mirrors radiologist decision-making. Background: Radiological imaging is critical to disease diagnosis and treatment planning for a wide array...
Published: 3/7/2025
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Inventor(s):
Dieter Enzmann
,
Corey Arnold
,
Alex Bui
,
William Hsu
Keywords(s):
3D tissue imaging
,
3D ultrasound imaging
,
bioimaging
,
cell imaging
,
computational imaging
,
computational imaging task
,
Imaging
,
Magnetic Resonance Imaging
,
Magnetic Resonance Imaging Medical Physics
,
Magnetic Resonance Imaging Pathology
,
Magnetic Resonance Imaging Spin Polarization
,
Medical Imaging
,
Molecular Imaging
,
multi-contrast imaging
,
non-invasive imaging
,
Radiology
,
Radiology / Radiomitigation
,
three dimensional imaging
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Digital Health
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
Positive Unlabeled Learning With Bias Mitigation for Fair Prediction of Undiagnosed Alzheimer’s Disease (Case No. 2025-113)
Summary: UCLA researchers in the Department of Neurology have developed a software to predict the diagnosis of Alzheimer’s Disease without racial or ethnic biases. Background: Alzheimer’s Disease (AD) represents a major health and economic challenge in the United States. Despite its prevalence, Alzheimer’s remains significantly...
Published: 2/14/2025
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Inventor(s):
Timothy Chang
Keywords(s):
Alzheimers disease
,
artificial intelligence/machine learning models
,
electronic health records (EHR)
,
medical bias reduction
,
Neurodegeneration Alzheimer's Disease Predictive Testing
,
neurological disorders
,
Neurology
,
personalized medicine
Category(s):
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Data Analytics
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Programs
,
Diagnostic Markers > Aging
,
Therapeutics > CNS and Neurology
An Adaptive Approach for Synthetic Microvascular Network Generation (Case No. 2024-259)
Summary: UCLA researchers from the Department of Medicine have developed a method for synthetic microvascular network generation for improved coronary disease monitoring. Background: Synthetic microvascular network modeling can be used in diagnosing and managing microvascular diseases such as coronary microvascular disease (CMD). CMD is traditionally...
Published: 2/14/2025
|
Inventor(s):
Kim-Lien Nguyen
,
Mostafa Mahmoudi
,
Amirhosseini Arzani
Keywords(s):
Category(s):
Medical Devices
,
Medical Devices > Cardiac
,
Medical Devices > Hospital Systems
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
,
Software & Algorithms
,
Software & Algorithms > Digital Health
Comprehensive and Individualized Menopause Care Delivery Protocol With Technological Decision Support Aid (Case No. 2024-193)
Summary: Researchers in the UCLA Department of Obstetrics and Gynecology have developed a new clinical decision support system for improved menopause care. Background: Each year, approximately 1.3 million women in the United States enter menopause. This is often accompanied by symptoms such as hot flashes, mood changes, and sleep issues. In addition,...
Published: 2/14/2025
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Inventor(s):
Rajita Patil
,
Erica Oberman
,
Brittany Davis
,
Rhonda Voskuhl
,
Kathleen Van Dyk
,
Ravi Aysola
,
Louise Dixon De Silva
,
Karol Watson
,
Lua Jafari
,
Julie Bernthal
,
Rashmi Mullur
,
Albert Shieh
,
Elizabeth Ko
,
Katie Hu
,
Aashini Master
,
Kelly Mccann
,
Kelsey Collins
,
Katherine Unverferth
,
Tamara Grisales
,
Amy Rosenman
,
Andrea Rapkin
Keywords(s):
clinical care methodology
,
clinical decision support
,
EHR
,
EHR integration
,
electronic health records (EHR)
,
FemTech
,
femtech medical device
,
lab results analysis
,
medical bias reduction
,
Menopause
,
menopause management
,
patient questionnaire
,
period
,
personalized medicine
,
predictive analytics
,
specialist referral
,
women’s health
Category(s):
Software & Algorithms
,
Software & Algorithms > Programs
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Medical Devices
,
Medical Devices > FemTech
MEDREX (Case No. 2024-244)
Summary: UCLA researchers have developed a new software package to reconcile medication lists between different electronic health records. Background: Reconciliation is a crucial process that ensures patients’ medication lists are accurate. This process is especially important for patients with memory impairments, who may be more vulnerable...
Published: 2/14/2025
|
Inventor(s):
Li Zhou
,
Richard Korf
,
Cindy Liu
,
Edmond Wen
,
Advaith Gowrishetty
,
Jonathan Xu
,
Nicole Ju
Keywords(s):
Software
,
Software & Algorithms
,
Software Development Tools
,
Software-enabled learning
Category(s):
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Programs
,
Software & Algorithms > Data Analytics
Deep Neural Networks for Real-Time Non-invasive Continuous Peripheral Oxygen Saturation Monitoring (Case No. 2024-227)
Summary: UCLA researchers in the Department of Anesthesiology have developed a novel pulse oximetry methodology utilizing deep neural networks for non-invasive monitoring. Background: In the US alone, over 5 million patients are admitted to the ICU for oxygen saturation monitoring. They, as well as the more than 15 million patients undergoing surgery,...
Published: 2/14/2025
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Inventor(s):
Sungsoo Kim
,
Sohee Kwon
,
Mia Markey
,
Alan Bovik
,
Akos Rudas
,
Ravi Pal
,
Maxime Cannesson
Keywords(s):
Artifical Intelligence (Machine Learning, Data Mining)
,
Blood Pressure
,
cardiovascular monitoring
,
central venous pressure (CVP)
,
Continuous blood pressure monitoring
,
critical care
,
Deep learning-based sensing
,
deep-learning analysis algorithms
,
heart failure
,
hemodynamic monitoring
,
machine learning modeling
,
Monitoring (Medicine)
,
neural network
,
non-invasive monitoring
,
Oxygen
,
Oxygen Saturation
,
pulmonary arterial pressure (PAP)
,
Swan-Ganz catheter
Category(s):
Medical Devices > Monitoring And Recording Systems
,
Software & Algorithms > Digital Health
Intraoperative Deep Learning Model for Imputation of the Continuous Central Venous Pressure (CVP) and Pulmonary Arterial Pressure (PAP) Waveforms From (Case No. 2024-224)
Summary: Researchers in the UCLA Department of Anesthesiology have developed a deep learning model to accurately represent and visualize hemodynamic waveforms, or blood flow patterns, with minimally invasive approaches. Background: Swan-Ganz (SG) catheters are used for precise cardiac hemodynamic evaluations. Indicated for patients with severe...
Published: 2/14/2025
|
Inventor(s):
Maxime Cannesson
,
Sungsoo Kim
,
Akos Rudas
,
Jeffrey Chiang
,
Ravi Pal
Keywords(s):
active learning
,
Algorithm
,
algorithm-based testing
,
arterial blood pressure (ABP)
,
Artifical Intelligence (Machine Learning, Data Mining)
,
artificial intelligence algorithms
,
blood cancers
,
blood flow management
,
Blood Pressure
,
Blood Proteins
,
cardiovascular monitoring
,
catheter
,
Catheterization
,
central venous pressure (CVP)
,
Computer Aided Learning
,
Continuous blood pressure monitoring
,
critical care
,
curriculum learning
,
Deep Learning
,
Deep learning-based sensing
,
deep-learning analysis algorithms
,
heart failure
,
hemodynamic monitoring
,
Machine Learning
,
non-invasive monitoring
,
Perceptual Learning
,
pulmonary arterial pressure (PAP)
,
Software & Algorithms
,
Swan-Ganz catheter
Category(s):
Software & Algorithms
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Medical Devices
,
Medical Devices > Monitoring And Recording Systems
A Method and System for Pre-processing Medical Images (Case No. 2024-177)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel pre-processing computer algorithm for automated medical imaging. Background: The integration of machine learning and artificial intelligence into medical imaging applications offers significant potential to automate the diagnosis of various...
Published: 2/14/2025
|
Inventor(s):
Bahram Jalali
,
Callen MacPhee
,
Yiming Zhou
,
Koichiro Kishima
Keywords(s):
3D ultrasound imaging
,
Artificial Intelligence
,
bioimaging
,
Computer Vision
,
histopathology images
,
Machine Learning
,
Medical Imaging
,
MRI
,
X-Ray
Category(s):
Diagnostic Markers > Cancer
,
Diagnostic Markers > Immunology
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
Copyright: Biomechanical Deformable Models for Human Anatomy (Case No. 2022-328)
Summary: UCLA researchers have developed a novel method to characterize lung tissue biomechanics and applied it to the creation of a computational model to improve understanding and visualization of lung diseases. Background: Chronic lower respiratory disease (ex. COPD) was the sixth leading cause of death in the United States in 2021, taking nearly...
Published: 2/14/2025
|
Inventor(s):
Anand Santhanam
,
Brad Stiehl
Keywords(s):
Biomechanics
,
cardiopulmonary illness
,
Respiratory & Pulmonary
,
Simulation & Modeling
Category(s):
Software & Algorithms > Statistical Models
,
Software & Algorithms > Digital Health
,
Therapeutics > Respiratory And Pulmonary
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